|
Midterm Exam #1 |
100 pts |
|
Midterm Exam #2 |
100 pts |
|
Homework |
75 pts |
|
Quizzes |
75 pts |
|
Final Exam |
150 pts |
|
Total |
500 pts |
Disclaimer:
The information here is tentative and subject to change or confirmation by
announcement in class
Write out your answers neatly in complete English sentences and explain your reasoning
P:
Problems TE: Theoretical Exercises
|
due 7/17 |
Chapter 1, P:
1,2,7*,9,12,15*,18,20*,24,26,27,28*,31 |
|
due 7/24 |
Chapter 3, P:
1,7,13*,14,15,23*,24,35*,37,38*,41,45,55,62,66*,73,74,79,84a |
|
due 7/31 |
Chapter 4, P:
21*,28,37*,38,51*,53*,55*,58*,63*,65,73,79* |
|
due 8/07 |
Chapter 5, P: 1,2*,4*,7,11*,14 |
|
due 8/14 |
Chapter 5, TE: 14 |
Please
note: This syllabus, and the midterm exam dates, are approximate; our mileage
will vary. See the disclaimer for Textbook Homework
A PDF version of the syllabus may be available for print-out
|
# |
Date |
|
Topics |
|
1 |
7/10 |
1.1-1.6 |
Combinatorial Analysis |
|
2 |
7/12 |
2.1-2.3; 2.4 |
Axioms of Probability; Inclusion/Exclusion |
|
3 |
7/14 |
2.5 |
Equally Likely Outcomes |
|
4 |
|
3.1-3.4 |
Conditional Probability, |
|
5 |
7/19 |
3.5 |
P(.|F) is a probability; Random Variables, Distribution Functions |
|
6 |
7/21 |
EXAM 1: # 1-5 (Without Chapter 4) |
|
|
7 |
7/24 |
4.9; 4.3-4.4 |
C.D.F.s; Discrete RVs; Expectation
of DRV |
|
8 |
7/26 |
4.5; 4.6-4.8 |
Variance of DRVs; Examples of DRVs |
|
9 |
7/28 |
4.6-4.8 |
Examples of DRVs; Poisson Processes |
|
10 |
7/31 |
4.7; 5.1-5.3 |
Poisson Processes; Continuous RVs;
Expectation and Variance |
|
11 |
8/02 |
5.3-5.4 |
Examples; |
|
|
8/04 |
EXAM 2: # 7-11 |
|
|
13 |
8/07 |
5.5-5.7; 6.1 |
Exponential; Functions of a RV |
|
14 |
8/09 |
6.2-6.3; 7.1-7.2 |
|
|
15 |
8/11 |
7.2; 7.4; 7.7 |
Linearity of Expectation |
|
16 |
8/14 |
8.1--8.4 |
Markov and Chebyshev
Inequalities, Weak Law of Large Numbers |
|
FINAL EXAM (entire course): August 16, 6:00 - 8:30 pm |
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